音频信号压缩中的感知压缩感知和感知稀疏快速傅里叶变换

2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2014-06-22 DOI:10.1109/SPAWC.2014.6941862

Hossam M. Kasem, M. Elsabrouty

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引用次数: 8

摘要

稀疏信号处理已成为许多通信和多媒体处理应用的核心。压缩感知(CS)和稀疏快速傅里叶变换(SFFT)等技术即使在信号不完全稀疏的情况下也能提供高质量的恢复信号，即使在高压缩比下也是如此。在这项工作中，我们研究了在执行CS和SFFT时考虑音频信号感知特性的影响。通过平均意见评分(Mean Opinion Score, MOS)验证了感知信号质量的提高。

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Perceptual Compressed Sensing and perceptual Sparse Fast Fourier Transform for audio signal compression

Sparse signal processing has become central in many communications and multimedia processing applications. Techniques such as Compressed Sensing(CS) and Sparse Fast Fourier Transform (SFFT) provide good quality of the restored signal even when the signal is not completely sparse even also at high compression ratio. In this work, we examine the effect of taking the perceptual properties of the audio signal into account while performing both CS and SFFT. The improved perceptual signal quality by Mean Opinion Score (MOS) is verified.

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来源期刊

2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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